{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-09-28T06:03:00.468Z","headline":"OpenAI 发布内部研究加速报告：已达成自动化研究实习生目标，推进 2028 年 3 月自动化 AI 研究员","description":"OpenAI 发文披露自动化研究进展，宣布已达成去年秋天设定的今年 9 月拥有自动化研究实习生（可在人类指导下完成耗时数天的明确研究任务）的目标，并计划在 2028 年 3 月前造出自动化 AI 研究员。","url":"https://www.aioga.com/news/cmtpzyon6019iroemu68v4s2v/","mainEntityOfPage":"https://www.aioga.com/news/cmtpzyon6019iroemu68v4s2v/","datePublished":"2026-09-06T08:00:00.000Z","dateModified":"2026-09-06T08:00:00.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://openai.com/index/research-acceleration-view-inside-openai","https://aihot.news/items/cmtpzyon6019iroemu68v4s2v"],"canonicalUrl":"https://www.aioga.com/news/cmtpzyon6019iroemu68v4s2v/","directAnswer":{"@type":"Answer","text":"OpenAI披露，其已达成去年秋天设定的目标：在今年9月前拥有可在人类指导下完成耗时数天明确研究任务的自动化研究实习生，并称正推进于2028年3月前打造自动化AI研究员。","url":"https://www.aioga.com/news/cmtpzyon6019iroemu68v4s2v/","dateCreated":"2026-09-06T08:00:00.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"OpenAI source article","url":"https://openai.com/index/research-acceleration-view-inside-openai","datePublished":"2026-09-06T08:00:00.000Z","provider":{"@type":"Organization","name":"OpenAI","url":"https://openai.com/index/research-acceleration-view-inside-openai"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.news/items/cmtpzyon6019iroemu68v4s2v","datePublished":"2026-09-06T08:00:00.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.news/items/cmtpzyon6019iroemu68v4s2v"}}],"aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","originalPublisher":{"name":"OpenAI","url":"https://openai.com/index/research-acceleration-view-inside-openai"},"geoDeepAnswer":null,"article":{"id":"cmtpzyon6019iroemu68v4s2v","slug":"cmtpzyon6019iroemu68v4s2v","url":"https://www.aioga.com/news/cmtpzyon6019iroemu68v4s2v/","title":"OpenAI 发布内部研究加速报告：已达成自动化研究实习生目标，推进 2028 年 3 月自动化 AI 研究员","title_en":"","summary":"OpenAI 发文披露自动化研究进展，宣布已达成去年秋天设定的今年 9 月拥有自动化研究实习生（可在人类指导下完成耗时数天的明确研究任务）的目标，并计划在 2028 年 3 月前造出自动化 AI 研究员。","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","sourceUrl":"https://openai.com/index/research-acceleration-view-inside-openai","aiHotUrl":"https://aihot.news/items/cmtpzyon6019iroemu68v4s2v","publishedAt":"2026-09-06T08:00:00.000Z","category":"行业动态","score":72,"selected":true,"articleBody":["For AGI to benefit all of humanity, we believe it must be democratically governed. This can only happen through an informed public debate about the capabilities, risks and safeguards of highly capable AI systems. People everywhere need to understand the likely future trajectory of frontier AI, so they can have a meaningful voice in how it develops.","Transparency about specific risks, incidents and safeguards is necessary, but not sufficient. We believe the public also needs to understand how the most capable systems are developing, and how they are driving research progress, inside of frontier labs.","We aim to safely build an automated AI researcher that can work under human supervision to further progress on deep learning and alignment, enabling iterative improvements. According to our measurements, we have now reached the goal, announced ⁠ (opens in a new window) ：https://x.com/sama/status/1983584366547829073?lang=en last fall, of having an automated research intern by September of this year. By “research intern,” we mean a system that can carry out well-defined research tasks under human direction, including tasks that would take a skilled researcher a few days. We are making strong progress toward creating an automated AI researcher by March of 2028.","Over the course of this year, OpenAI researchers’ daily work has changed substantially. Researchers are using coding agents throughout the day (often in concurrent sessions) and total usage is rapidly increasing, outpacing growth among other OpenAI teams. Researchers are contributing code faster and running more experiments. The ways researchers use agents are changing, too: agents are handling increasingly complex tasks, and succeeding at them more often. AI research is a complex process with many potential bottlenecks, so the overall pace of progress likely won’t keep pace with these specific metrics. But on the whole, these findings are consistent with the broader impression many of us have internally that agentic tools are meaningfully accelerating research progress. People still set our research priorities, judge which ideas and results to pursue, and decide whether to scale, pause, or deploy systems.","If it is done responsibly, we believe automated AI research will yield models that directly enhance human welfare and advance OpenAI’s mission. It can bring down the cost of advanced intelligence so that people worldwide can benefit. We are pursuing this work in part because automated research could help us solve alignment and build defenses against increasingly capable AI. An automated AI researcher can also be an automated safety or alignment researcher. More capable, aligned systems could help secure critical infrastructure, defend against dangerous AI agents, and develop new protective measures.","These are reasons to develop useful automated research capabilities, but they do not mean that rapid RSI is necessarily an outcome we should pursue. Whether and how to proceed must depend on our ability to preserve human control and on informed democratic choices about the benefits and risks.","We do not yet know how to safely get all the way to aligned, full RSI. We are working to scale alignment and safety measures alongside capabilities. But we cannot assume that progress in alignment and safety will keep pace, and more capable systems can become harder to monitor. Careful alignment and safety work is at the center of this effort, and it starts with measuring and mitigating the safety problems we see today in agentic coding systems. Whenever we find that proceeding would pose an unacceptable safety risk, we will respond appropriately including by slowing or stopping our development or deployment of systems we find ourselves unable to sufficiently safeguard.","After the recent Hugging Face incident, we put this commitment into action ⁠：https://openai.com/index/pacing-model-development-cyber-capabilities/ , pausing reinforcement learning (RL) training on our latest models intended for deployment while we further hardened and red-teamed our research environments and expanded coverage of our monitoring systems. This did not halt all research: some workloads resumed under stronger controls, while others remained paused. We have raised our safety and alignment standards and moved safety work deeper into the model lifecycle, requiring stronger evidence of aligned behavior throughout all of training.","Today we are providing a detailed snapshot of how agentic systems have contributed to our progress toward RSI in recent months. Agentic systems are new and rapidly changing, and our measurement efforts are still preliminary. By sharing these early results and the methods behind them, we aim to inform the public, encourage a norm of public disclosure, and help the field move toward shared standards of measurement.","Ultimately, as we wrote in our frontier policy blueprint ⁠：https://openai.com/index/frontier-safety-blueprint/ , we believe that we and other companies should be required to publicly track our progress toward RSI. Even without such a requirement, we plan to continue being transparent about our RSI progress. We will evolve our transparency approach as our measurement techniques and understanding improve, while balancing the need to protect security and proprietary information.","At the start of this year, the median researcher ranked by agent usage at OpenAI was using coding agents only in modest amounts. By mid-August, the median researcher was integrating agents daily into their work, using more than $600 per day of inference at API prices. The 90th percentile user in our research organization now uses more than $7,000 of tokens per day.","Before June 2026, total agent runtime across the research organization was still below that of total human labor. That has since changed. In terms of a standard 8 hour workday, as of mid-August, in total, the research organization uses 3.1 agent-workdays of effort for every workday of human labor.","Another way of looking at this is to understand how many researchers use highly concurrent workflows (e.g., running 4 or more agents simultaneously). As shown below, this number is increasing. These figures include the daily peaks of both agents started directly by the user and subagents created downstream from those the user launched directly.","Much of AI research can be seen as a labor-intensive process with the goal of integrating a new improvement to model intelligence or performance into one of our core models. The process depends on many steps, and capabilities advance when all the steps go right together: Researchers have to design new improvements, write evaluations to judge model performance, write infrastructure to test these improvements at scale, catch bugs as well as unsafe or misaligned behavior during training, and integrate winning ideas into a core training run. A failure at any part of the research process can constrain the entire loop.","Writing code and running experiments are two major activities that researchers do as part of their work, and we see evidence that these processes are accelerating.","These data points are relatively easy to measure, but can be hard to interpret. As automation progresses, the tasks which are least automatable will take on a larger share of researcher effort and will become the important bottlenecks to future progress. Compute is another gating factor for progress, and may become more important over time as other bottlenecks diminish.","Through 2026, the number of experiments per active experimenter has increased, with August 2026 being an all-time high since tracking began in Jan 2025. This is correlated with increased Codex adoption, though we note that our available compute has also grown significantly since 2025.","Both qualitative impressions and internal data indicate that the mix of tasks researchers delegate to coding agents is changing, with delegation of higher level and longer-horizon tasks becoming more common over time.","To get a clearer picture of this trend, we analyzed recent usage in the research organization using a recently published taxonomy ⁠ (opens in a new window) ：https://epoch.ai/gradient-updates/toward-an-onet-for-ai-rnd of the different kinds of work that are part of the AI R&D lifecycle, developed by Epoch AI. This taxonomy, inspired by the longstanding O*NET system for classifying all kinds of work, is specifically tailored to frontier AI R&D, and breaks the process down into six main phases:","Below, we classify coding agent tokens under this taxonomy.","We see that all categories of research activities have increased between January and August 2026. In January, the dominant category was research and infrastructure code. This category has expanded, but we also see notable increases in additional categories, especially technical help and monitoring runs. High-level planning still remains a minimal fraction of agent output tokens.","Anecdotally, colleagues report that coding agents excel at troubleshooting internal research infrastructure, which addresses one meaningful bottleneck to research progress. Multiple teams which previously held office hours to help researchers troubleshoot their experiments have noted declining attendance in 2026, and one has stopped holding sessions entirely, to focus on making other system improvements instead.","Here, we plot the number of top-level posts per day to one of the main internal channels where researchers seek technical support from other teams. To our knowledge, the channel’s decrease in activity has not been offset by queries shifting to another technical support channel run by humans. The decline in traffic aligns with this broader shift.","We can also study whether coding agents are succeeding at the tasks researchers request. Using an agentic classifier, we find that from January to July, success rates generally increased across several difficulty buckets (proxied as the estimated time a human would take to complete the task) on tasks we can find a ground truth outcome for. However, agents still require significant human steering to be successful, especially as task complexity rises. In the last 6 months, over half of successful 4-8 hour tasks involved 1 or more interventions.","Success rates on researcher tasks have increased over time. Graph excludes classifications where the outcome was uncertain and points with","Task success and intervention rate from Jan to July, broken out by time horizon. Excludes classifications where the outcome was uncertain.","Progress toward more capable systems for safe and beneficial AGI will also depend on the safeguards needed for such work. Our assessment of the needed safeguards may change as we learn more about the risks.","As we have described, ⁠：https://openai.com/index/pacing-model-development-cyber-capabilities/ we have recently updated our standards for monitoring, alignment, and security. Here, we show how recent restrictions have affected one aspect of research activity.","* The majority of Astra compute shown here between July 20 and August 6 was intended to test the implementation of safety and security improvements.","On July 20, following the discovery that agents had compromised our research infrastructure, we temporarily shut down the container service used for training, and then restored it with significant additional restrictions.","This led to a sharp decline in RL training compute while teams reconfigured their workflows to operate within the hardened research environment. The plot above includes the two week pause in reinforcement learning on our latest models intended for deployment. Astra-class RL experiments between July 20 and August 6 include a majority of runs (by GPU allocation) intended to test the implementation of safety and security improvements.","On August 7, preliminary evidence that Astra may have critical cyber capabilities ⁠：https://openai.com/index/responding-next-frontier-critical-cyber-capabilities/ under our Preparedness Framework ⁠ (opens in a new window) ：https://cdn.openai.com/pdf/18a02b5d-6b67-4cec-ab64-68cdfbddebcd/preparedness-framework-v2.pdf led to additional model-specific security restrictions which required the Astra model to be run in higher security research environments. In the following week, Astra-class GPU allocation fell a further 59.2 percent, but allocation to other model classes rose 17.2 percent. That increase offset about 85 percent of the Astra-class decline, leaving total allocation in the analyzed RL workloads largely unchanged. This pattern is consistent with substitution of some training and experimentation to non-Astra models while work involving Astra was restricted, and comports with anecdotal reports of researchers finding other uses for compute that could no longer be leveraged for workloads covered by the new constraints.","This data provides a useful signal for ongoing conversations about training and safety: When new controls are introduced, compute remains valuable and flexible, and will naturally be channeled into alternative uses within the research enterprise. Longer term, discussions about the pace of AI progress should also extend to the question of how compute that is subject to new or proposed controls can best be used.","Making and understanding progress toward aligned RSI is important for our mission. We will continue to refine our methods, report on our evolving understanding, and work toward an informed public debate and meaningful democratic governance of frontier systems.","Agent-powered AI research is still new, and we are still learning how to measure it. Some indicators, such as the amount of code our research teams generate, are relatively easy to gather, but hard to interpret because their relationship to research progress is uncertain. Metrics that focus more directly on research progress—such as how often agents succeed at the tasks researchers give them—could be more useful, but are complex to develop and validate. Furthering the difficulty, the tools and systems researchers rely on are evolving rapidly. Deepening our understanding of research acceleration is a significant focus area across OpenAI.","Across these analyses, unless otherwise noted:"],"articleImages":[{"sourceUrl":"https://images.ctfassets.net/kftzwdyauwt9/2VUQZfeF2GtKRitKYdkoLu/cc96d05424afb2c9adcca0734ecdafb1/navier-stokes-art-card.png?w=3840&q=90&fm=webp","alt":"Navier–Stokes solution — art card","afterParagraph":35,"url":"/media/articles/cmtpzyon6019iroemu68v4s2v/32426757bbabdc20.webp"},{"sourceUrl":"https://images.ctfassets.net/kftzwdyauwt9/492WJ2zEboE6VdmchhCjIA/34e10aa1208a6988e3db2341d849d5b4/4bzz6p65ky7zwfd4pe42ou-cover__3_.png?w=3840&q=90&fm=webp","alt":"Teen development research grants — Card image","afterParagraph":35,"url":"/media/articles/cmtpzyon6019iroemu68v4s2v/e88ec76dd35446dd.webp"},{"sourceUrl":"https://images.ctfassets.net/kftzwdyauwt9/7ut3G8rKt5ia4P3yRqi2qN/6ffb429f70548a881eb46a4e7e61498e/Option_120___1080_1080.png?w=3840&q=90&fm=webp","alt":"An alien mind > Listing card","afterParagraph":35,"url":"/media/articles/cmtpzyon6019iroemu68v4s2v/aa1ddc4a166b06bf.webp"}],"mediaStatus":"ok","articleBodyZh":["OpenAI 发布内部研究加速报告：已达成自动化研究实习生目标，推进 2028 年 3 月自动化 AI 研究员 这条更新来自 openai.com，发布时间为 2026-09-06，Aioga 保留原文入口以便核验。","摘要：OpenAI 发文披露自动化研究进展，宣布已达成去年秋天设定的今年 9 月拥有自动化研究实习生（可在人类指导下完成耗时数天的明确研究任务）的目标，并计划在 2028 年 3 月前造出自动化 AI 研究员。","背景：根据 OpenAI 官网动态，相关目标分为两个阶段：先实现自动化研究实习生，再推进自动化 AI 研究员。材料仅说明任务需在人类指导下完成，未进一步披露系统细节或评估结果。","Aioga 观察：Aioga 判断：这是一项关于自动化研究能力路线图的阶段性披露，当前已明确的是目标达成与后续时间节点，尚不足以据此判断自动化 AI 研究员最终能力或实际应用范围。","影响与后续：可能影响：该披露可能推动行业关注研究流程中的自动化进展，但不代表自动化研究实习生已能独立完成所有研究工作，也不足以证明自动化 AI 研究员能够按计划实现既定目标。 后续观察：应关注 OpenAI 是否披露自动化研究实习生的任务边界、评估方式、人类指导要求，以及自动化 AI 研究员目标在后续阶段是否出现新的公开进展。"],"translationStatus":"","bodyOrigin":"source-page","editorial":{"summary":"OpenAI披露，其已达成去年秋天设定的目标：在今年9月前拥有可在人类指导下完成耗时数天明确研究任务的自动化研究实习生，并称正推进于2028年3月前打造自动化AI研究员。","background":"OpenAI表示，研究人员日常使用编码代理，代理承担的任务复杂度和成功率均在提升；但研究人员仍负责设定优先级、判断结果，并决定系统是否扩展、暂停或部署。公司同时强调，安全与对齐工作需伴随能力发展。","viewpoint":"Aioga 判断：这份披露的核心是自动化研究能力已从目标设定进入阶段性验证，但“研究实习生”仅指在人类指导下执行定义明确的任务，不等同于能够独立完成完整研究流程。","implications":"可能影响：编码代理使用增加可能改变研究流程，但现有指标不足以代表整体研究进度同步提升；自动化研究能力扩展需要持续验证人类控制、监测、对齐与安全措施是否充分。","nextStep":"后续观察：应关注OpenAI对自动化研究员目标的进一步进展披露，以及其如何说明任务范围、评估标准、监督机制和安全措施；若发现风险，公司称可能放慢或停止相关开发或部署。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-09-10T11:34:33.187Z","sourceHash":"d668a1397a8269af","review":{"approved":true,"groundedness":96,"clarity":95,"duplicationRisk":10,"blockingIssues":[],"notes":["“阶段性验证”属于基于原文已达成阶段目标的概括性判断，已通过“Aioga 判断”明确标注为观点。","“现有指标不足以代表整体研究进度同步提升”与原文关于具体指标不必然带动整体研究进度的限定一致。","可将“拥有”改为“达到拥有……的目标”以更贴近原文表述，但不影响事实准确性。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","editorial-labels","inference-boundary","low-source-overlap","no-html","independent-ai-review"]}},"tags":["行业动态","OpenAI：官网动态（RSS · 排除企业/客户案例）"],"translations":{"zh-CN":{"title":"OpenAI 发布内部研究加速报告：已达成自动化研究实习生目标，推进 2028 年 3 月自动化 AI 研究员","summary":"OpenAI 发文披露自动化研究进展，宣布已达成去年秋天设定的今年 9 月拥有自动化研究实习生（可在人类指导下完成耗时数天的明确研究任务）的目标，并计划在 2028 年 3 月前造出自动化 AI 研究员。","category":"行业动态","source":"OpenAI","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI 发布内部研究加速报告：已达成自动化研究实习生目标，推进 2028 年 3 月自动化 AI 研究员 - Aioga AI资讯","description":"OpenAI 发文披露自动化研究进展，宣布已达成去年秋天设定的今年 9 月拥有自动化研究实习生（可在人类指导下完成耗时数天的明确研究任务）的目标，并计划在 2028 年 3 月前造出自动化 AI 研究员。","url":"https://www.aioga.com/news/cmtpzyon6019iroemu68v4s2v/","articleBody":["OpenAI 发布内部研究加速报告：已达成自动化研究实习生目标，推进 2028 年 3 月自动化 AI 研究员 这条更新来自 openai.com，发布时间为 2026-09-06，Aioga 保留原文入口以便核验。","摘要：OpenAI 发文披露自动化研究进展，宣布已达成去年秋天设定的今年 9 月拥有自动化研究实习生（可在人类指导下完成耗时数天的明确研究任务）的目标，并计划在 2028 年 3 月前造出自动化 AI 研究员。","背景：根据 OpenAI 官网动态，相关目标分为两个阶段：先实现自动化研究实习生，再推进自动化 AI 研究员。材料仅说明任务需在人类指导下完成，未进一步披露系统细节或评估结果。","Aioga 观察：Aioga 判断：这是一项关于自动化研究能力路线图的阶段性披露，当前已明确的是目标达成与后续时间节点，尚不足以据此判断自动化 AI 研究员最终能力或实际应用范围。","影响与后续：可能影响：该披露可能推动行业关注研究流程中的自动化进展，但不代表自动化研究实习生已能独立完成所有研究工作，也不足以证明自动化 AI 研究员能够按计划实现既定目标。 后续观察：应关注 OpenAI 是否披露自动化研究实习生的任务边界、评估方式、人类指导要求，以及自动化 AI 研究员目标在后续阶段是否出现新的公开进展。"]},"en":{"title":"OpenAI Releases Internal Research Acceleration Report: Achieved Goal of Automated Research Intern, Advancing Toward Automated AI Researcher by March 2028","summary":"OpenAI published an article revealing progress in automated research, announcing that it has met the goal set last fall of having an automated research intern by this September (capable of completing time-consuming, well-defined research tasks under human guidance), and plans to create an automated AI researcher by March 2028.","category":"Industry","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI Releases Internal Research Acceleration Report: Achieved Goal of Automated Research Intern, Advancing Toward Automated AI Researcher by March 2028 - 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Aioga AI 뉴스","description":"OpenAI가 자동화 연구 진행 상황을 공개하며, 지난해 가을 설정한 올해 9월 자동화 연구 인턴(사람의 지도하에 수일이 소요되는 명확한 연구 과제를 수행할 수 있는)을 보유한다는 목표 달성을 발표하고, 2028년 3월까지 자동화 AI 연구원을 개발할 계획임을 밝혔다.","url":"https://www.aioga.com/ko/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:20:31.230Z"},"es":{"title":"OpenAI publica informe interno de aceleración de investigación: ha alcanzado el objetivo de pasante de investigación automatizado, impulsando la creación de investigadores de IA automatizados para marzo de 2028","summary":"OpenAI publicó avances en investigación automatizada, anunciando que ha alcanzado el objetivo establecido el otoño pasado de contar con pasantes de investigación automatizados para septiembre de este año (capaces de completar tareas de investigación definidas que tardarían varios días bajo supervisión humana), y planea crear investigadores de IA automatizados antes de marzo de 2028.","category":"Industria","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI publica informe interno de aceleración de investigación: ha alcanzado el objetivo de pasante de investigación automatizado, impulsando la creación de investigadores de IA automatizados para marzo de 2028 - 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Es wird bekannt gegeben, dass das Ziel, bis September dieses Jahres automatisierte Forschungspraktikanten (die unter menschlicher Aufsicht mehrtägige klare Forschungsaufgaben erledigen können) zu haben, erreicht wurde, und dass geplant ist, bis März 2028 automatisierte AI-Forscher zu entwickeln.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI veröffentlicht Bericht zur Beschleunigung interner Forschung: Ziel für automatisierte Forschungspraktikanten erreicht, Fortschritt hin zu automatisierten AI-Forschern bis März 2028 - Aioga KI-News","description":"OpenAI hat einen Artikel veröffentlicht, der den Fortschritt der automatisierten Forschung offenlegt. Es wird bekannt gegeben, dass das Ziel, bis September dieses Jahres automatisi...","url":"https://www.aioga.com/de/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:20:35.474Z"},"pt-BR":{"title":"OpenAI divulga relatório interno de aceleração de pesquisa: Metas de estagiários em pesquisa em automação foram alcançadas, avançando a automação de pesquisadores de IA até março de 2028","summary":"A OpenAI publicou um relatório divulgando progressos na pesquisa em automação, anunciando que alcançou sua meta estabelecida no outono passado de ter estagiários de pesquisa em automação (que podem realizar tarefas específicas de pesquisa de vários dias sob supervisão humana) até setembro deste ano, e planeja produzir pesquisadores de IA automatizada até março de 2028.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI divulga relatório interno de aceleração de pesquisa: Metas de estagiários em pesquisa em automação foram alcançadas, avançando a automação de pesquisadores de IA até março de 2028 - Aioga Notícias de IA","description":"A OpenAI publicou um relatório divulgando progressos na pesquisa em automação, anunciando que alcançou sua meta estabelecida no outono passado de ter estagiários de pesquisa em aut...","url":"https://www.aioga.com/pt-BR/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:20:44.909Z"},"ru":{"title":"OpenAI опубликовала внутренний отчет о ускорении исследований: достигнута цель автоматизированного исследовательского стажера, продвигается создание автоматизированного AI-исследователя к марту 2028 года","summary":"OpenAI опубликовала статью о прогрессе в автоматизации исследований, объявив, что достигла цели иметь автоматизированного исследовательского стажера к сентябрю этого года, поставленной осенью прошлого года (способного выполнять четко определенные исследовательские задачи, которые обычно занимают у людей несколько дней, под руководством человека), и планирует создать автоматизированного AI-исследователя к марту 2028 года.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI опубликовала внутренний отчет о ускорении исследований: достигнута цель автоматизированного исследовательского стажера, продвигается создание автоматизированного AI-исследователя к марту 2028 года - Aioga Новости ИИ","description":"OpenAI опубликовала статью о прогрессе в автоматизации исследований, объявив, что достигла цели иметь автоматизированного исследовательского стажера к сентябрю этого года, поставле...","url":"https://www.aioga.com/ru/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:20:39.772Z"},"ar":{"title":"أصدرت OpenAI تقريرًا داخليًا لتسريع البحث: تم تحقيق هدف متدرب البحث الآلي، والتقدم نحو باحث AI آلي بحلول مارس 2028","summary":"نشرت OpenAI مقالًا يكشف عن تقدم البحث الآلي، وأعلنت أنها حققت هدف الحصول على متدرب بحث آلي (يمكنه إكمال مهام بحثية محددة تستغرق عدة أيام تحت إشراف الإنسان) في سبتمبر هذا العام، والذي تم تحديده في خريف العام الماضي، وتخطط لإنتاج باحث AI آلي قبل مارس 2028.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"أصدرت OpenAI تقريرًا داخليًا لتسريع البحث: تم تحقيق هدف متدرب البحث الآلي، والتقدم نحو باحث AI آلي بحلول مارس 2028 - Aioga أخبار الذكاء الاصطناعي","description":"نشرت OpenAI مقالًا يكشف عن تقدم البحث الآلي، وأعلنت أنها حققت هدف الحصول على متدرب بحث آلي (يمكنه إكمال مهام بحثية محددة تستغرق عدة أيام تحت إشراف الإنسان) في سبتمبر هذا العام، وال...","url":"https://www.aioga.com/ar/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:20:48.375Z"},"hi":{"title":"OpenAI ने आंतरिक अनुसंधान त्वरक रिपोर्ट जारी की: स्वचालित अनुसंधान प्रशिक्षु लक्ष्य हासिल किया गया, मार्च 2028 तक स्वचालित AI शोधकर्ता को आगे बढ़ाया जाएगा","summary":"OpenAI ने स्वचालित अनुसंधान प्रगति का खुलासा करते हुए कहा कि उसने पिछले साल पतझड़ में सेट किए गए लक्ष्य को हासिल कर लिया है, इस वर्ष सितंबर तक स्वचालित अनुसंधान प्रशिक्षु (जो मानव मार्गदर्शन में कई दिनों के स्पष्ट अनुसंधान कार्यों को पूरा कर सकता है) को लागू करने का लक्ष्य, और 2028 मार्च तक स्वचालित AI शोधकर्ता बनाने की योजना बनाई है।","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI ने आंतरिक अनुसंधान त्वरक रिपोर्ट जारी की: स्वचालित अनुसंधान प्रशिक्षु लक्ष्य हासिल किया गया, मार्च 2028 तक स्वचालित AI शोधकर्ता को आगे बढ़ाया जाएगा - Aioga AI समाचार","description":"OpenAI ने स्वचालित अनुसंधान प्रगति का खुलासा करते हुए कहा कि उसने पिछले साल पतझड़ में सेट किए गए लक्ष्य को हासिल कर लिया है, इस वर्ष सितंबर तक स्वचालित अनुसंधान प्रशिक्षु (जो मानव...","url":"https://www.aioga.com/hi/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:20:49.241Z"},"it":{"title":"OpenAI pubblica il rapporto interno sull'accelerazione della ricerca: obiettivo di tirocinante di ricerca automatizzato raggiunto, avanzamento verso ricercatore AI automatizzato entro marzo 2028","summary":"OpenAI ha rilasciato un articolo rivelando i progressi della ricerca automatizzata, annunciando di aver raggiunto l'obiettivo fissato lo scorso autunno di avere, entro settembre di quest'anno, tirocinanti di ricerca automatizzati (in grado di completare sotto la guida umana compiti di ricerca ben definiti che richiedono giorni di lavoro), e pianificando di creare un ricercatore AI automatizzato entro marzo 2028.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI pubblica il rapporto interno sull'accelerazione della ricerca: obiettivo di tirocinante di ricerca automatizzato raggiunto, avanzamento verso ricercatore AI automatizzato entro marzo 2028 - Aioga Notizie IA","description":"OpenAI ha rilasciato un articolo rivelando i progressi della ricerca automatizzata, annunciando di aver raggiunto l'obiettivo fissato lo scorso autunno di avere, entro settembre di...","url":"https://www.aioga.com/it/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:20:54.195Z"},"nl":{"title":"OpenAI publiceert intern onderzoeksversnellingsrapport: doel automatische onderzoeksstagiair bereikt, vooruitgang naar geautomatiseerde AI-onderzoeker tegen maart 2028","summary":"OpenAI publiceert een artikel over de voortgang van automatische onderzoeken en kondigt aan dat het doel om tegen september van dit jaar een automatische onderzoeksstagiair te hebben (die onder menselijke begeleiding meerdaagse duidelijke onderzoekstaken kan uitvoeren), dat vorig najaar werd gesteld, is bereikt, en dat het van plan is om tegen maart 2028 een geautomatiseerde AI-onderzoeker te ontwikkelen.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI publiceert intern onderzoeksversnellingsrapport: doel automatische onderzoeksstagiair bereikt, vooruitgang naar geautomatiseerde AI-onderzoeker tegen maart 2028 - Aioga AI-nieuws","description":"OpenAI publiceert een artikel over de voortgang van automatische onderzoeken en kondigt aan dat het doel om tegen september van dit jaar een automatische onderzoeksstagiair te hebb...","url":"https://www.aioga.com/nl/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:20:52.728Z"},"tr":{"title":"OpenAI, iç araştırma hızlandırma raporunu yayınladı: Otomasyon araştırma stajyerlerinin hedefleri gerçekleştirildi ve Mart 2028'e kadar yapay zeka araştırmacılarının otomasyonu ilerletildi","summary":"OpenAI, otomasyon araştırmalarındaki ilerlemeyi açıklayan bir rapor yayımladı ve geçen sonbaharda belirlenen hedefine ulaştığını duyurdu; otomasyon araştırma stajyerleri (insan gözetiminde birkaç gün süren belirli araştırma görevlerini tamamlayabilenler) bu yıl Eylül ayına kadar ve Mart 2028'e kadar otomatik yapay zeka araştırmacıları yetiştirmeyi planlıyor.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI, iç araştırma hızlandırma raporunu yayınladı: Otomasyon araştırma stajyerlerinin hedefleri gerçekleştirildi ve Mart 2028'e kadar yapay zeka araştırmacılarının otomasyonu ilerletildi - Aioga AI Haberleri","description":"OpenAI, otomasyon araştırmalarındaki ilerlemeyi açıklayan bir rapor yayımladı ve geçen sonbaharda belirlenen hedefine ulaştığını duyurdu; otomasyon araştırma stajyerleri (insan göz...","url":"https://www.aioga.com/tr/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:21:02.777Z"},"vi":{"title":"OpenAI công bố báo cáo tăng tốc nghiên cứu nội bộ: đã đạt mục tiêu thực tập sinh nghiên cứu tự động, thúc đẩy AI nghiên cứu tự động vào tháng 3 năm 2028","summary":"OpenAI đăng bài tiết lộ tiến triển nghiên cứu tự động, thông báo đã đạt mục tiêu thực tập sinh nghiên cứu tự động được đặt vào mùa thu năm ngoái, có thể hoàn thành các nhiệm vụ nghiên cứu rõ ràng mất vài ngày dưới sự hướng dẫn của con người, và dự định tạo ra nhà nghiên cứu AI tự động trước tháng 3 năm 2028.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI công bố báo cáo tăng tốc nghiên cứu nội bộ: đã đạt mục tiêu thực tập sinh nghiên cứu tự động, thúc đẩy AI nghiên cứu tự động vào tháng 3 năm 2028 - Tin tức AI Aioga","description":"OpenAI đăng bài tiết lộ tiến triển nghiên cứu tự động, thông báo đã đạt mục tiêu thực tập sinh nghiên cứu tự động được đặt vào mùa thu năm ngoái, có thể hoàn thành các nhiệm vụ ngh...","url":"https://www.aioga.com/vi/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:21:00.847Z"},"id":{"title":"OpenAI merilis laporan percepatan penelitian internal: telah mencapai target magang penelitian otomatis, mendorong AI peneliti otomatis pada Maret 2028","summary":"OpenAI menerbitkan artikel yang mengungkap kemajuan penelitian otomatis, mengumumkan telah mencapai target magang penelitian otomatis pada September tahun ini yang ditetapkan pada musim gugur tahun lalu (dapat menyelesaikan tugas penelitian yang jelas selama beberapa hari di bawah bimbingan manusia), dan berencana menghadirkan AI peneliti otomatis sebelum Maret 2028.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI merilis laporan percepatan penelitian internal: telah mencapai target magang penelitian otomatis, mendorong AI peneliti otomatis pada Maret 2028 - Berita AI Aioga","description":"OpenAI menerbitkan artikel yang mengungkap kemajuan penelitian otomatis, mengumumkan telah mencapai target magang penelitian otomatis pada September tahun ini yang ditetapkan pada...","url":"https://www.aioga.com/id/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:21:06.263Z"},"th":{"title":"OpenAI เผยแพร่รายงานความก้าวหน้าการวิจัยภายใน: บรรลุเป้าหมายผู้ช่วยวิจัยอัตโนมัติแล้ว พร้อมเดินหน้าไปสู่ AI นักวิจัยอัตโนมัติในเดือนมีนาคม 2028","summary":"OpenAI เผยความก้าวหน้าการวิจัยอัตโนมัติ ประกาศว่าบรรลุเป้าหมายผู้ช่วยวิจัยอัตโนมัติที่ตั้งไว้ในฤดูใบไม้ร่วงปีที่แล้ว ภายในเดือนกันยายนปีนี้ (สามารถทำงานวิจัยที่ชัดเจนซึ่งต้องใช้เวลาหลายวันภายใต้การแนะนำของมนุษย์ได้) และวางแผนสร้าง AI นักวิจัยอัตโนมัติก่อนเดือนมีนาคม 2028","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI เผยแพร่รายงานความก้าวหน้าการวิจัยภายใน: บรรลุเป้าหมายผู้ช่วยวิจัยอัตโนมัติแล้ว พร้อมเดินหน้าไปสู่ AI นักวิจัยอัตโนมัติในเดือนมีนาคม 2028 - ข่าว AI Aioga","description":"OpenAI เผยความก้าวหน้าการวิจัยอัตโนมัติ ประกาศว่าบรรลุเป้าหมายผู้ช่วยวิจัยอัตโนมัติที่ตั้งไว้ในฤดูใบไม้ร่วงปีที่แล้ว ภายในเดือนกันยายนปีนี้ (สามารถทำงานวิจัยที่ชัดเจนซึ่งต้องใช้เวล...","url":"https://www.aioga.com/th/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:21:10.849Z"},"pl":{"title":"OpenAI opublikowało wewnętrzny raport przyspieszenia badań: osiągnięto cel automatycznego stażysty badawczego, postęp w kierunku automatycznego badacza AI do marca 2028 r.","summary":"OpenAI opublikowało artykuł ujawniający postępy w automatyzacji badań, ogłaszając, że osiągnięto cel z zeszłej jesieni dotyczący posiadania we wrześniu tego roku automatycznego stażysty badawczego (zdolnego do wykonywania jasno określonych zadań badawczych trwających kilka dni pod kierunkiem człowieka), oraz planuje stworzenie automatycznego badacza AI do marca 2028 r.","category":"行业动态","source":"OpenAI：官网动态（RSS · 排除企业/客户案例）","aggregationSource":"OpenAI：官网动态（RSS · 排除企业/客户案例）","pageTitle":"OpenAI opublikowało wewnętrzny raport przyspieszenia badań: osiągnięto cel automatycznego stażysty badawczego, postęp w kierunku automatycznego badacza AI do marca 2028 r. - Aioga Wiadomości AI","description":"OpenAI opublikowało artykuł ujawniający postępy w automatyzacji badań, ogłaszając, że osiągnięto cel z zeszłej jesieni dotyczący posiadania we wrześniu tego roku automatycznego sta...","url":"https://www.aioga.com/pl/news/cmtpzyon6019iroemu68v4s2v/","contentTranslated":true,"sourceHash":"9061d6438aef68b1","translatedAt":"2026-09-06T16:21:15.069Z"}},"evidenceTier":"verified-news","reviewStatus":"editorial-selected","indexable":true,"editorialCover":""}}